Quantification of Pork, Chicken, Beef, and Sheep Contents in Meat Products Using Duplex Real-Time PCR

Author:

Wang Yanwen1ORCID,Teo Emily1,Lin Kung Ju1,Wu Yuansheng1,Chan Joanne Sheot Harn12,Tan Li Kiang1

Affiliation:

1. National Centre for Food Science, Singapore Food Agency, 7 International Business Park, Singapore 609919, Singapore

2. Department of Food Science and Technology, National University of Singapore, S14 Level 5 Science Drive 2, Singapore 117542, Singapore

Abstract

Accurate methods for meat speciation and quantification are essential for ensuring the supply of safe and wholesome meat and composite products with animal origins to negate the potential associated hazards, aid classification of consignments at the import control system, and thwart food fraud committed for financial gain. To better enhance meat safety control and combat food fraud, this study developed two duplex real-time polymerase chain reaction (real-time PCR) systems specifically designed for chicken, pork, sheep, and beef, using single-copy, chromosomally encoded, species-specific gene sequences to accurately measure the content of each meat type in meat products. DNA extracted from the raw and boiled reference materials prepared in varying proportions (ranging from 1% to 75%) were used in the development of the duplex assay to derive calibration factors to determine the meat content in different meat products. The method was further validated using proficiency test samples and market monitoring samples. Our findings showed that this method exhibits high specificity and sensitivity, with a significant accuracy range of 0.14% to 24.07% in quantifying the four meat types in both raw and processed meat products. Validation results further confirmed the effectiveness of our method in accurately quantifying meat content. Thus, we have demonstrated the duplex qPCR assays as promising approaches for implementation in routine analysis to strengthen meat safety control systems and combat meat fraud, thereby safeguarding consumer health and trust in the meat industry.

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

Reference38 articles.

1. Viewpoint: Regulating meat consumption to improve health, the environment and animal welfare;Bonnet;Food Policy,2020

2. Review of major meat-borne zoonotic bacterial pathogens;Ali;Front. Public Health,2022

3. Singh, R.L., and Mondal, S. (2019). Food Safety and Human Health, Academic Press.

4. WHO (2023, April 01). Zoonotic Disease: Emerging Public Health Threats in the Region. Available online: https://www.emro.who.int/about-who/rc61/zoonotic-diseases.html.

5. Rahman, T., Sobur, A., Islam, S., Ievy, S., Hossain, J., El Zowalaty, M.E., Rahman, A.T., and Ashour, H.M. (2020). Zoonotic Diseases: Etiology, Impact, and Control. Microorganisms, 8.

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